Create app.py

app.py

@@ -0,0 +1,299 @@
+import gradio as gr
+import replicate
+import os
+from PIL import Image
+import requests
+from io import BytesIO
+import time
+import tempfile
+import base64
+
+# Set up Replicate API key from environment variable
+os.environ['REPLICATE_API_TOKEN'] = os.getenv('REPLICATE_API_TOKEN')
+
+def upload_image_to_hosting(image):
+    """
+    Upload image to multiple hosting services with fallback
+    """
+    # Method 1: Try imgbb.com (most reliable)
+    try:
+        buffered = BytesIO()
+        image.save(buffered, format="PNG")
+        buffered.seek(0)
+        img_base64 = base64.b64encode(buffered.getvalue()).decode()
+        
+        response = requests.post(
+            "https://api.imgbb.com/1/upload",
+            data={
+                'key': '6d207e02198a847aa98d0a2a901485a5',
+                'image': img_base64,
+            }
+        )
+        
+        if response.status_code == 200:
+            data = response.json()
+            if data.get('success'):
+                return data['data']['url']
+    except:
+        pass
+    
+    # Method 2: Try 0x0.st (simple and reliable)
+    try:
+        buffered = BytesIO()
+        image.save(buffered, format="PNG")
+        buffered.seek(0)
+        
+        files = {'file': ('image.png', buffered, 'image/png')}
+        response = requests.post("https://0x0.st", files=files)
+        
+        if response.status_code == 200:
+            return response.text.strip()
+    except:
+        pass
+    
+    # Method 3: Fallback to base64
+    buffered = BytesIO()
+    image.save(buffered, format="PNG")
+    buffered.seek(0)
+    img_base64 = base64.b64encode(buffered.getvalue()).decode()
+    return f"data:image/png;base64,{img_base64}"
+
+def process_images(prompt, image1, image2=None):
+    """
+    Process uploaded images with Replicate API
+    """
+    if not image1:
+        return None, "Please upload at least one image"
+    
+    if not os.getenv('REPLICATE_API_TOKEN'):
+        return None, "Please set REPLICATE_API_TOKEN"
+    
+    try:
+        image_urls = []
+        
+        # Upload images
+        url1 = upload_image_to_hosting(image1)
+        image_urls.append(url1)
+        
+        if image2:
+            url2 = upload_image_to_hosting(image2)
+            image_urls.append(url2)
+        
+        # Run the model
+        output = replicate.run(
+            "google/nano-banana",
+            input={
+                "prompt": prompt,
+                "image_input": image_urls
+            }
+        )
+        
+        if output is None:
+            return None, "No output received"
+        
+        # Get the generated image
+        try:
+            if hasattr(output, 'read'):
+                img_data = output.read()
+                img = Image.open(BytesIO(img_data))
+                return img, "✨ Generated successfully!"
+        except:
+            pass
+        
+        try:
+            if hasattr(output, 'url'):
+                output_url = output.url()
+                response = requests.get(output_url, timeout=30)
+                if response.status_code == 200:
+                    img = Image.open(BytesIO(response.content))
+                    return img, "✨ Generated successfully!"
+        except:
+            pass
+        
+        output_url = None
+        if isinstance(output, str):
+            output_url = output
+        elif isinstance(output, list) and len(output) > 0:
+            output_url = output[0]
+        
+        if output_url:
+            response = requests.get(output_url, timeout=30)
+            if response.status_code == 200:
+                img = Image.open(BytesIO(response.content))
+                return img, "✨ Generated successfully!"
+        
+        return None, "Could not process output"
+        
+    except Exception as e:
+        return None, f"Error: {str(e)[:100]}"
+
+# Enhanced CSS with modern, minimal design
+css = """
+.gradio-container {
+    background: linear-gradient(180deg, #0f0f0f 0%, #1a1a2e 100%);
+    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
+    min-height: 100vh;
+}
+.header-container {
+    background: linear-gradient(135deg, #ffd93d 0%, #ffb347 100%);
+    padding: 2rem;
+    border-radius: 20px;
+    margin-bottom: 2rem;
+    box-shadow: 0 20px 40px rgba(255, 217, 61, 0.3);
+}
+.logo-text {
+    font-size: 3.5rem;
+    font-weight: 900;
+    color: #1a1a2e;
+    text-align: center;
+    margin: 0;
+    letter-spacing: -2px;
+}
+.subtitle {
+    color: #2a2a3e;
+    text-align: center;
+    font-size: 1rem;
+    margin-top: 0.5rem;
+    opacity: 0.9;
+}
+.main-content {
+    background: rgba(255, 255, 255, 0.05);
+    backdrop-filter: blur(10px);
+    border-radius: 20px;
+    padding: 2rem;
+    border: 1px solid rgba(255, 255, 255, 0.1);
+}
+.gr-button-primary {
+    background: linear-gradient(135deg, #ffd93d 0%, #ffb347 100%) !important;
+    border: none !important;
+    color: #1a1a2e !important;
+    font-weight: 700 !important;
+    font-size: 1.1rem !important;
+    padding: 1rem 2rem !important;
+    border-radius: 12px !important;
+    transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1) !important;
+    text-transform: uppercase;
+    letter-spacing: 1px;
+}
+.gr-button-primary:hover {
+    transform: translateY(-2px) !important;
+    box-shadow: 0 10px 30px rgba(255, 217, 61, 0.4) !important;
+}
+.gr-input, .gr-textarea {
+    background: rgba(255, 255, 255, 0.08) !important;
+    border: 1px solid rgba(255, 255, 255, 0.15) !important;
+    border-radius: 12px !important;
+    color: white !important;
+    font-size: 1rem !important;
+}
+.gr-input:focus, .gr-textarea:focus {
+    border-color: #ffd93d !important;
+    box-shadow: 0 0 0 3px rgba(255, 217, 61, 0.1) !important;
+}
+.gr-form {
+    background: transparent !important;
+    border: none !important;
+}
+.gr-panel {
+    background: rgba(255, 255, 255, 0.03) !important;
+    border: 1px solid rgba(255, 255, 255, 0.1) !important;
+    border-radius: 16px !important;
+    padding: 1.5rem !important;
+}
+.gr-box {
+    border-radius: 12px !important;
+    border-color: rgba(255, 255, 255, 0.1) !important;
+}
+label {
+    color: rgba(255, 255, 255, 0.9) !important;
+    font-weight: 600 !important;
+    font-size: 0.9rem !important;
+    text-transform: uppercase;
+    letter-spacing: 1px;
+    margin-bottom: 0.5rem !important;
+}
+.status-text {
+    font-family: 'SF Mono', 'Monaco', monospace;
+    color: #ffd93d;
+    padding: 0.5rem 1rem;
+    background: rgba(255, 217, 61, 0.1);
+    border-radius: 8px;
+    border: 1px solid rgba(255, 217, 61, 0.3);
+}
+.image-container {
+    border-radius: 16px !important;
+    overflow: hidden;
+    box-shadow: 0 10px 30px rgba(0, 0, 0, 0.3);
+}
+footer {
+    display: none !important;
+}
+"""
+
+# Build the interface
+with gr.Blocks(css=css, theme=gr.themes.Base()) as demo:
+    with gr.Column(elem_classes="header-container"):
+        gr.HTML("""
+            <h1 class="logo-text">🍌 Free Nano Banana</h1>
+            <p class="subtitle">AI-Powered Image Style Transfer</p>
+        """)
+    
+    with gr.Column(elem_classes="main-content"):
+        with gr.Row():
+            with gr.Column(scale=1):
+                prompt = gr.Textbox(
+                    label="Prompt",
+                    placeholder="Describe your style...",
+                    lines=2,
+                    value="Make the sheets in the style of the logo. Make the scene natural."
+                )
+                
+                with gr.Row():
+                    image1 = gr.Image(
+                        label="Image 1",
+                        type="pil",
+                        height=180,
+                        elem_classes="image-container"
+                    )
+                    image2 = gr.Image(
+                        label="Image 2 (Optional)",
+                        type="pil",
+                        height=180,
+                        elem_classes="image-container"
+                    )
+                
+                generate_btn = gr.Button(
+                    "Generate",
+                    variant="primary",
+                    size="lg"
+                )
+            
+            with gr.Column(scale=1):
+                output_image = gr.Image(
+                    label="Result",
+                    type="pil",
+                    height=400,
+                    elem_classes="image-container"
+                )
+                
+                status = gr.Textbox(
+                    label="Status",
+                    interactive=False,
+                    lines=1,
+                    elem_classes="status-text"
+                )
+    
+    # Event handler
+    generate_btn.click(
+        fn=process_images,
+        inputs=[prompt, image1, image2],
+        outputs=[output_image, status]
+    )
+
+# Launch
+if __name__ == "__main__":
+    demo.launch(
+        share=True,
+        server_name="0.0.0.0",
+        server_port=7860
+    )